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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w14719 |
来源ID | Working Paper 14719 |
Why We Need to Measure the Effect of Merger Policy and How to Do It | |
Dennis W. Carlton | |
发表日期 | 2009-02-13 |
出版年 | 2009 |
语种 | 英语 |
摘要 | In this article, I explain the inadequacy of our current state of knowledge regarding the effectiveness of antitrust policy towards mergers. I then discuss the types of data that one must collect in order to be able to perform an analysis of the effectiveness of antitrust policy. There are two types of data one requires in order to perform such an analysis. One is data on the relevant market pre and post merger. The second is data on the specific predictions of the government agencies about the market post-merger. A key point of this article is to stress how weak an analysis of only the first type of data is. The frequent call for retrospective studies typically envisions relying on just this type of data, but the limitations on the analysis are not well understood. As I explain below, retrospective studies that ask whether prices went up post merger are surprisingly poor guides for analyzing merger policy. It is only when the second type of data is combined with the first type that a reliable analysis of antitrust policy can be carried out. There is a need both to collect the necessary data and to analyze it correctly. |
主题 | Econometrics ; Other ; Law and Economics ; Industrial Organization ; Market Structure and Firm Performance ; Antitrust |
URL | https://www.nber.org/papers/w14719 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/572395 |
推荐引用方式 GB/T 7714 | Dennis W. Carlton. Why We Need to Measure the Effect of Merger Policy and How to Do It. 2009. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w14719.pdf(171KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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